Summarization Dataset Profile Report

Brought to you by YData

Dataset statistics

Number of variables	20
Number of observations	999
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	720.8 KiB
Average record size in memory	738.9 B

Variable types

Text	8
Numeric	6
Categorical	2
Boolean	4

Alerts

`has_missing_fields` has constant value "False"	Constant
`has_transcript_issues` has constant value "False"	Constant
`has_summary_issues` has constant value "False"	Constant
`compression_ratio` is highly overall correlated with `summary_length` and 1 other fields	High correlation
`summary_length` is highly overall correlated with `compression_ratio` and 1 other fields	High correlation
`transcript_length` is highly overall correlated with `word_count_transcript`	High correlation
`word_count_summary` is highly overall correlated with `compression_ratio` and 1 other fields	High correlation
`word_count_transcript` is highly overall correlated with `transcript_length`	High correlation
`priority` is highly imbalanced (75.6%)	Imbalance
`line_number` is uniformly distributed	Uniform
`record_id` has unique values	Unique
`line_number` has unique values	Unique

Reproduction

Analysis started	2025-10-01 10:16:24.280579
Analysis finished	2025-10-01 10:16:25.727778
Duration	1.45 second
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

record_id
Text

Unique

Distinct	999
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	55.6 KiB

Length

Max length	9
Median length	8
Mean length	7.8928929
Min length	6

Characters and Unicode

Total characters	7885
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	999 ?
Unique (%)	100.0%

Sample

1st row	line_1
2nd row	line_2
3rd row	line_3
4th row	line_4
5th row	line_5

Value	Count	Frequency (%)
line_8	1	0.1%
line_1000	1	0.1%
line_1	1	0.1%
line_2	1	0.1%
line_3	1	0.1%
line_4	1	0.1%
line_5	1	0.1%
line_985	1	0.1%
line_986	1	0.1%
line_987	1	0.1%
Other values (989)	989	99.0%

Most occurring characters

Value	Count	Frequency (%)
l	999	12.7%
i	999	12.7%
n	999	12.7%
e	999	12.7%
_	999	12.7%
1	300	3.8%
3	300	3.8%
7	300	3.8%
4	300	3.8%
5	300	3.8%
Other values (5)	1390	17.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7885	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	999	12.7%
i	999	12.7%
n	999	12.7%
e	999	12.7%
_	999	12.7%
1	300	3.8%
3	300	3.8%
7	300	3.8%
4	300	3.8%
5	300	3.8%
Other values (5)	1390	17.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7885	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	999	12.7%
i	999	12.7%
n	999	12.7%
e	999	12.7%
_	999	12.7%
1	300	3.8%
3	300	3.8%
7	300	3.8%
4	300	3.8%
5	300	3.8%
Other values (5)	1390	17.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7885	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	999	12.7%
i	999	12.7%
n	999	12.7%
e	999	12.7%
_	999	12.7%
1	300	3.8%
3	300	3.8%
7	300	3.8%
4	300	3.8%
5	300	3.8%
Other values (5)	1390	17.6%

line_number
Real number (ℝ)

Uniform Unique

Distinct	999
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	500.78178

Minimum	1
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	50.9
Q1	251.5
median	501
Q3	750.5
95-th percentile	950.1
Maximum	1000
Range	999
Interquartile range (IQR)	499

Descriptive statistics

Standard deviation	288.82654
Coefficient of variation (CV)	0.57675129
Kurtosis	-1.1992711
Mean	500.78178
Median Absolute Deviation (MAD)	250
Skewness	-0.0020031687
Sum	500281
Variance	83420.77
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
984	1	0.1%
983	1	0.1%
982	1	0.1%
Other values (989)	989	99.0%

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1000	1	0.1%
999	1	0.1%
998	1	0.1%
997	1	0.1%
996	1	0.1%
995	1	0.1%
994	1	0.1%
993	1	0.1%
992	1	0.1%
991	1	0.1%

transcript_length
Real number (ℝ)

High correlation

Distinct	243
Distinct (%)	24.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	631.57357

Minimum	462
Maximum	953
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	462
5-th percentile	544
Q1	591
median	627
Q3	664.5
95-th percentile	730
Maximum	953
Range	491
Interquartile range (IQR)	73.5

Descriptive statistics

Standard deviation	59.036998
Coefficient of variation (CV)	0.093476041
Kurtosis	2.2069959
Mean	631.57357
Median Absolute Deviation (MAD)	37
Skewness	0.8240949
Sum	630942
Variance	3485.3671
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
623	14	1.4%
663	11	1.1%
577	11	1.1%
610	11	1.1%
585	11	1.1%
613	10	1.0%
631	10	1.0%
639	10	1.0%
604	10	1.0%
644	10	1.0%
Other values (233)	891	89.2%

Value	Count	Frequency (%)
462	1	0.1%
484	1	0.1%
487	1	0.1%
490	1	0.1%
507	1	0.1%
508	1	0.1%
513	1	0.1%
517	1	0.1%
518	1	0.1%
523	1	0.1%

Value	Count	Frequency (%)
953	1	0.1%
938	1	0.1%
919	1	0.1%
845	1	0.1%
837	1	0.1%
825	2	0.2%
815	3	0.3%
814	1	0.1%
811	1	0.1%
804	1	0.1%

summary_length
Real number (ℝ)

High correlation

Distinct	234
Distinct (%)	23.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	251.2953

Minimum	78
Maximum	478
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	78
5-th percentile	156
Q1	218
median	255
Q3	285
95-th percentile	338.1
Maximum	478
Range	400
Interquartile range (IQR)	67

Descriptive statistics

Standard deviation	53.628761
Coefficient of variation (CV)	0.21340933
Kurtosis	0.41930783
Mean	251.2953
Median Absolute Deviation (MAD)	32
Skewness	-0.082231057
Sum	251044
Variance	2876.044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
272	14	1.4%
282	13	1.3%
251	13	1.3%
264	13	1.3%
239	12	1.2%
287	12	1.2%
261	11	1.1%
270	11	1.1%
257	11	1.1%
254	11	1.1%
Other values (224)	878	87.9%

Value	Count	Frequency (%)
78	1	0.1%
82	2	0.2%
97	1	0.1%
102	1	0.1%
110	1	0.1%
118	1	0.1%
122	1	0.1%
123	1	0.1%
128	2	0.2%
130	1	0.1%

Value	Count	Frequency (%)
478	1	0.1%
447	1	0.1%
415	1	0.1%
408	1	0.1%
396	1	0.1%
391	1	0.1%
384	1	0.1%
376	1	0.1%
373	2	0.2%
372	1	0.1%

compression_ratio
Real number (ℝ)

High correlation

Distinct	975
Distinct (%)	97.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.39999268

Minimum	0.12206573
Maximum	0.80067002
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0.12206573
5-th percentile	0.25258602
Q1	0.34228299
median	0.40536278
Q3	0.45650519
95-th percentile	0.53403136
Maximum	0.80067002
Range	0.67860429
Interquartile range (IQR)	0.1142222

Descriptive statistics

Standard deviation	0.087763369
Coefficient of variation (CV)	0.21941244
Kurtosis	0.45074473
Mean	0.39999268
Median Absolute Deviation (MAD)	0.056856375
Skewness	0.028797983
Sum	399.59268
Variance	0.0077024089
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3333333333	4	0.4%
0.3983606557	3	0.3%
0.375	3	0.3%
0.3563402889	2	0.2%
0.2829912023	2	0.2%
0.2942097027	2	0.2%
0.3987034036	2	0.2%
0.2750424448	2	0.2%
0.4615384615	2	0.2%
0.4534050179	2	0.2%
Other values (965)	975	97.6%

Value	Count	Frequency (%)
0.1220657277	1	0.1%
0.1291338583	1	0.1%
0.1350906096	1	0.1%
0.1556982343	1	0.1%
0.1634615385	1	0.1%
0.1777059774	1	0.1%
0.1853785901	1	0.1%
0.1909620991	1	0.1%
0.1979320532	1	0.1%
0.2002820874	1	0.1%

Value	Count	Frequency (%)
0.8006700168	1	0.1%
0.7267657993	1	0.1%
0.7017268446	1	0.1%
0.6576862124	1	0.1%
0.6570048309	1	0.1%
0.6269430052	1	0.1%
0.6205673759	1	0.1%
0.6119133574	1	0.1%
0.6097560976	1	0.1%
0.6053962901	1	0.1%

word_count_transcript
Real number (ℝ)

High correlation

Distinct	64
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	112.54655

Minimum	83
Maximum	166
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	83
5-th percentile	97
Q1	105
median	112
Q3	118
95-th percentile	130
Maximum	166
Range	83
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	10.482622
Coefficient of variation (CV)	0.093140322
Kurtosis	1.9626728
Mean	112.54655
Median Absolute Deviation (MAD)	7
Skewness	0.73697253
Sum	112434
Variance	109.88536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
113	45	4.5%
115	45	4.5%
114	42	4.2%
111	42	4.2%
106	40	4.0%
118	39	3.9%
108	38	3.8%
112	37	3.7%
116	37	3.7%
107	36	3.6%
Other values (54)	598	59.9%

Value	Count	Frequency (%)
83	2	0.2%
85	1	0.1%
88	1	0.1%
89	1	0.1%
90	2	0.2%
91	4	0.4%
92	1	0.1%
93	7	0.7%
94	2	0.2%
95	8	0.8%

Value	Count	Frequency (%)
166	1	0.1%
162	2	0.2%
155	1	0.1%
150	1	0.1%
149	1	0.1%
148	2	0.2%
146	2	0.2%
145	1	0.1%
144	1	0.1%
142	1	0.1%

word_count_summary
Real number (ℝ)

High correlation

Distinct	56
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.431431

Minimum	13
Maximum	75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	13
5-th percentile	25
Q1	35
median	41
Q3	46
95-th percentile	56
Maximum	75
Range	62
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	9.1595222
Coefficient of variation (CV)	0.22654459
Kurtosis	0.19744495
Mean	40.431431
Median Absolute Deviation (MAD)	6
Skewness	-0.028034678
Sum	40391
Variance	83.896847
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	56	5.6%
43	51	5.1%
44	50	5.0%
40	50	5.0%
39	45	4.5%
42	44	4.4%
45	43	4.3%
38	38	3.8%
37	38	3.8%
46	37	3.7%
Other values (46)	547	54.8%

Value	Count	Frequency (%)
13	2	0.2%
14	1	0.1%
16	1	0.1%
17	2	0.2%
18	3	0.3%
19	1	0.1%
20	2	0.2%
21	5	0.5%
22	10	1.0%
23	9	0.9%

Value	Count	Frequency (%)
75	1	0.1%
71	1	0.1%
70	1	0.1%
68	1	0.1%
67	1	0.1%
64	1	0.1%
63	1	0.1%
62	2	0.2%
61	3	0.3%
60	7	0.7%

name
Text

Distinct	65
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Memory size	52.8 KiB

Length

Max length	19
Median length	18
Mean length	4.988989
Min length	3

Characters and Unicode

Total characters	4984
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	3.0%

Sample

1st row	Ahmed
2nd row	Daniel
3rd row	Daniel
4th row	Jane
5th row	John

Value	Count	Frequency (%)
john	178	17.7%
james	136	13.5%
joseph	109	10.8%
sam	80	7.9%
simon	68	6.7%
samuel	59	5.9%
david	57	5.7%
jacob	30	3.0%
peter	26	2.6%
grace	22	2.2%
Other values (54)	243	24.1%

Most occurring characters

Value	Count	Frequency (%)
a	588	11.8%
J	506	10.2%
o	495	9.9%
e	477	9.6%
m	460	9.2%
n	361	7.2%
s	347	7.0%
h	338	6.8%
S	229	4.6%
i	177	3.6%
Other values (31)	1006	20.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4984	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	588	11.8%
J	506	10.2%
o	495	9.9%
e	477	9.6%
m	460	9.2%
n	361	7.2%
s	347	7.0%
h	338	6.8%
S	229	4.6%
i	177	3.6%
Other values (31)	1006	20.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4984	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	588	11.8%
J	506	10.2%
o	495	9.9%
e	477	9.6%
m	460	9.2%
n	361	7.2%
s	347	7.0%
h	338	6.8%
S	229	4.6%
i	177	3.6%
Other values (31)	1006	20.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4984	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	588	11.8%
J	506	10.2%
o	495	9.9%
e	477	9.6%
m	460	9.2%
n	361	7.2%
s	347	7.0%
h	338	6.8%
S	229	4.6%
i	177	3.6%
Other values (31)	1006	20.2%

location
Text

Distinct	81
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Memory size	55.5 KiB

Length

Max length	36
Median length	22
Mean length	7.7897898
Min length	3

Characters and Unicode

Total characters	7782
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	4.2%

Sample

1st row	Mombasa
2nd row	Kisumu
3rd row	Mombasa
4th row	Kisumu
5th row	Narok

Value	Count	Frequency (%)
mombasa	293	24.7%
mwanza	266	22.4%
kisumu	165	13.9%
kenya	88	7.4%
tanzania	45	3.8%
eldoret	38	3.2%
kampala	34	2.9%
nairobi	26	2.2%
mbeya	25	2.1%
tororo	20	1.7%
Other values (60)	188	15.8%

Most occurring characters

Value	Count	Frequency (%)
a	1679	21.6%
M	629	8.1%
s	508	6.5%
m	506	6.5%
n	477	6.1%
o	463	5.9%
u	429	5.5%
b	372	4.8%
i	361	4.6%
z	315	4.0%
Other values (32)	2043	26.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7782	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1679	21.6%
M	629	8.1%
s	508	6.5%
m	506	6.5%
n	477	6.1%
o	463	5.9%
u	429	5.5%
b	372	4.8%
i	361	4.6%
z	315	4.0%
Other values (32)	2043	26.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7782	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1679	21.6%
M	629	8.1%
s	508	6.5%
m	506	6.5%
n	477	6.1%
o	463	5.9%
u	429	5.5%
b	372	4.8%
i	361	4.6%
z	315	4.0%
Other values (32)	2043	26.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7782	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1679	21.6%
M	629	8.1%
s	508	6.5%
m	506	6.5%
n	477	6.1%
o	463	5.9%
u	429	5.5%
b	372	4.8%
i	361	4.6%
z	315	4.0%
Other values (32)	2043	26.3%

issue
Categorical

Distinct	49
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	61.6 KiB

Child labor	315
Child Labor	261
Forced child marriage	90
Emotional abuse	85
Child Marriage	48
Other values (44)	200

Length

Max length	51
Median length	11
Mean length	14.058058
Min length	7

Characters and Unicode

Total characters	14044
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	2.6%

Sample

1st row	Child Labor
2nd row	Forced child labor
3rd row	Child labor
4th row	Child labor
5th row	Child Labor

Common Values

Value	Count	Frequency (%)
Child labor	315	31.5%
Child Labor	261	26.1%
Forced child marriage	90	9.0%
Emotional abuse	85	8.5%
Child Marriage	48	4.8%
Forced child labor	43	4.3%
Child marriage	32	3.2%
Forced Child Marriage	24	2.4%
Neglect	19	1.9%
Forced Child Labor	15	1.5%
Other values (39)	67	6.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
child	861	38.0%
labor	642	28.3%
marriage	220	9.7%
forced	189	8.3%
abuse	127	5.6%
emotional	116	5.1%
neglect	30	1.3%
and	21	0.9%
physical	15	0.7%
of	10	0.4%
Other values (13)	37	1.6%

Most occurring characters

Value	Count	Frequency (%)
l	1407	10.0%
a	1378	9.8%
r	1275	9.1%
	1269	9.0%
i	1240	8.8%
o	1098	7.8%
d	1083	7.7%
h	878	6.3%
b	771	5.5%
C	721	5.1%
Other values (25)	2924	20.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14044	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	1407	10.0%
a	1378	9.8%
r	1275	9.1%
	1269	9.0%
i	1240	8.8%
o	1098	7.8%
d	1083	7.7%
h	878	6.3%
b	771	5.5%
C	721	5.1%
Other values (25)	2924	20.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14044	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	1407	10.0%
a	1378	9.8%
r	1275	9.1%
	1269	9.0%
i	1240	8.8%
o	1098	7.8%
d	1083	7.7%
h	878	6.3%
b	771	5.5%
C	721	5.1%
Other values (25)	2924	20.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14044	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	1407	10.0%
a	1378	9.8%
r	1275	9.1%
	1269	9.0%
i	1240	8.8%
o	1098	7.8%
d	1083	7.7%
h	878	6.3%
b	771	5.5%
C	721	5.1%
Other values (25)	2924	20.8%

category
Text

Distinct	102
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Memory size	64.2 KiB

Length

Max length	47
Median length	45
Mean length	16.707708
Min length	5

Characters and Unicode

Total characters	16691
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	4.3%

Sample

1st row	Child Exploitation
2nd row	Child Labor
3rd row	Labor exploitation
4th row	Child exploitation
5th row	Work Exploitation

Value	Count	Frequency (%)
child	524	24.5%
labor	441	20.6%
exploitation	386	18.0%
protection	191	8.9%
abuse	106	5.0%
marriage	102	4.8%
forced	81	3.8%
emotional	53	2.5%
workplace	40	1.9%
violation	29	1.4%
Other values (31)	186	8.7%

Most occurring characters

Value	Count	Frequency (%)
o	1944	11.6%
i	1825	10.9%
a	1314	7.9%
t	1300	7.8%
l	1180	7.1%
	1140	6.8%
r	1042	6.2%
e	827	5.0%
n	695	4.2%
d	622	3.7%
Other values (35)	4802	28.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16691	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1944	11.6%
i	1825	10.9%
a	1314	7.9%
t	1300	7.8%
l	1180	7.1%
	1140	6.8%
r	1042	6.2%
e	827	5.0%
n	695	4.2%
d	622	3.7%
Other values (35)	4802	28.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16691	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1944	11.6%
i	1825	10.9%
a	1314	7.9%
t	1300	7.8%
l	1180	7.1%
	1140	6.8%
r	1042	6.2%
e	827	5.0%
n	695	4.2%
d	622	3.7%
Other values (35)	4802	28.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16691	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1944	11.6%
i	1825	10.9%
a	1314	7.9%
t	1300	7.8%
l	1180	7.1%
	1140	6.8%
r	1042	6.2%
e	827	5.0%
n	695	4.2%
d	622	3.7%
Other values (35)	4802	28.8%

priority
Categorical

Imbalance

Distinct	49
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Memory size	54.3 KiB

High	802
Urgent	105
High urgency	12
High (urgent action required)	10
Medium	7
Other values (44)	63

Length

Max length	107
Median length	4
Mean length	6.4934935
Min length	4

Characters and Unicode

Total characters	6487
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	3.5%

Sample

1st row	Urgent
2nd row	High
3rd row	High
4th row	High
5th row	High

Common Values

Value	Count	Frequency (%)
High	802	80.3%
Urgent	105	10.5%
High urgency	12	1.2%
High (urgent action required)	10	1.0%
Medium	7	0.7%
Moderate	5	0.5%
High Priority	5	0.5%
High (Urgent action required)	5	0.5%
High (Immediate Action Required)	3	0.3%
High (Urgent)	2	0.2%
Other values (39)	43	4.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
high	872	67.3%
urgent	136	10.5%
action	31	2.4%
required	27	2.1%
urgency	18	1.4%
immediate	15	1.2%
the	12	0.9%
needed	11	0.8%
moderate	10	0.8%
to	10	0.8%
Other values (63)	153	11.8%

Most occurring characters

Value	Count	Frequency (%)
i	1055	16.3%
g	1050	16.2%
h	915	14.1%
H	870	13.4%
e	391	6.0%
t	297	4.6%
	296	4.6%
n	272	4.2%
r	261	4.0%
U	119	1.8%
Other values (32)	961	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6487	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1055	16.3%
g	1050	16.2%
h	915	14.1%
H	870	13.4%
e	391	6.0%
t	297	4.6%
	296	4.6%
n	272	4.2%
r	261	4.0%
U	119	1.8%
Other values (32)	961	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6487	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1055	16.3%
g	1050	16.2%
h	915	14.1%
H	870	13.4%
e	391	6.0%
t	297	4.6%
	296	4.6%
n	272	4.2%
r	261	4.0%
U	119	1.8%
Other values (32)	961	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6487	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1055	16.3%
g	1050	16.2%
h	915	14.1%
H	870	13.4%
e	391	6.0%
t	297	4.6%
	296	4.6%
n	272	4.2%
r	261	4.0%
U	119	1.8%
Other values (32)	961	14.8%

has_missing_fields
Boolean

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

False	999

Value	Count	Frequency (%)
False	999	100.0%

has_transcript_issues
Boolean

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

False	999

Value	Count	Frequency (%)
False	999	100.0%

has_summary_issues
Boolean

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

False	999

Value	Count	Frequency (%)
False	999	100.0%

has_consistency_issues
Boolean

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

True	611
False	388

Value	Count	Frequency (%)
True	611	61.2%
False	388	38.8%

victim_info
Text

Distinct	269
Distinct (%)	26.9%
Missing	0
Missing (%)	0.0%
Memory size	68.5 KiB

Length

Max length	88
Median length	70
Mean length	21.062062
Min length	5

Characters and Unicode

Total characters	21041
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	190 ?
Unique (%)	19.0%

Sample

1st row	5-year-old girl
2nd row	13-year-old sister
3rd row	Sammy (14 years old)
4th row	12-year-old brother
5th row	13-year-old sister

Value	Count	Frequency (%)
sister	403	14.7%
12-year-old	367	13.4%
girl	208	7.6%
niece	165	6.0%
13-year-old	142	5.2%
5-year-old	124	4.5%
14-year-old	113	4.1%
7-year-old	101	3.7%
daughter	94	3.4%
a	90	3.3%
Other values (185)	927	33.9%

Most occurring characters

Value	Count	Frequency (%)
e	2190	10.4%
r	2015	9.6%
-	1849	8.8%
	1735	8.2%
o	1405	6.7%
l	1286	6.1%
a	1246	5.9%
d	1196	5.7%
s	1103	5.2%
i	1059	5.0%
Other values (44)	5957	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21041	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2190	10.4%
r	2015	9.6%
-	1849	8.8%
	1735	8.2%
o	1405	6.7%
l	1286	6.1%
a	1246	5.9%
d	1196	5.7%
s	1103	5.2%
i	1059	5.0%
Other values (44)	5957	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21041	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2190	10.4%
r	2015	9.6%
-	1849	8.8%
	1735	8.2%
o	1405	6.7%
l	1286	6.1%
a	1246	5.9%
d	1196	5.7%
s	1103	5.2%
i	1059	5.0%
Other values (44)	5957	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21041	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2190	10.4%
r	2015	9.6%
-	1849	8.8%
	1735	8.2%
o	1405	6.7%
l	1286	6.1%
a	1246	5.9%
d	1196	5.7%
s	1103	5.2%
i	1059	5.0%
Other values (44)	5957	28.3%

perpetrator_info
Text

Distinct	442
Distinct (%)	44.2%
Missing	0
Missing (%)	0.0%
Memory size	69.0 KiB

Length

Max length	120
Median length	69
Mean length	21.560561
Min length	4

Characters and Unicode

Total characters	21539
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	360 ?
Unique (%)	36.0%

Sample

1st row	Unknown, but a local factory is suspected
2nd row	Local factory owners
3rd row	Unknown (employer at a local factory)
4th row	Unspecified local workshop owner or workers
5th row	Unnamed factory owners

Value	Count	Frequency (%)
factory	305	9.4%
the	200	6.2%
local	188	5.8%
unknown	138	4.2%
neighbor	118	3.6%
owner	114	3.5%
family	112	3.4%
owners	108	3.3%
not	107	3.3%
mother	100	3.1%
Other values (251)	1758	54.1%

Most occurring characters

Value	Count	Frequency (%)
	2249	10.4%
e	2084	9.7%
o	1836	8.5%
r	1512	7.0%
a	1324	6.1%
n	1313	6.1%
t	1196	5.6%
i	1065	4.9%
s	865	4.0%
c	814	3.8%
Other values (45)	7281	33.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21539	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2249	10.4%
e	2084	9.7%
o	1836	8.5%
r	1512	7.0%
a	1324	6.1%
n	1313	6.1%
t	1196	5.6%
i	1065	4.9%
s	865	4.0%
c	814	3.8%
Other values (45)	7281	33.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21539	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2249	10.4%
e	2084	9.7%
o	1836	8.5%
r	1512	7.0%
a	1324	6.1%
n	1313	6.1%
t	1196	5.6%
i	1065	4.9%
s	865	4.0%
c	814	3.8%
Other values (45)	7281	33.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21539	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2249	10.4%
e	2084	9.7%
o	1836	8.5%
r	1512	7.0%
a	1324	6.1%
n	1313	6.1%
t	1196	5.6%
i	1065	4.9%
s	865	4.0%
c	814	3.8%
Other values (45)	7281	33.8%

referral_info
Text

Distinct	549
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Memory size	89.1 KiB

Length

Max length	97
Median length	73
Mean length	41.943944
Min length	10

Characters and Unicode

Total characters	41902
Distinct characters	59
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	440 ?
Unique (%)	44.0%

Sample

1st row	Mombasa Child Welfare Society and the police
2nd row	["Nairobi Children's Office, Relevant labor authorities"]
3rd row	['Mombasa Labor Commission, Police']
4th row	Kisumu Child Protection Unit and police
5th row	["Kisumu Children's Office", 'local police']

Value	Count	Frequency (%)
police	909	16.9%
office	796	14.8%
children's	614	11.4%
and	456	8.5%
local	305	5.7%
labor	283	5.2%
mombasa	257	4.8%
child	229	4.2%
mwanza	222	4.1%
kisumu	153	2.8%
Other values (127)	1168	21.7%

Most occurring characters

Value	Count	Frequency (%)
	4393	10.5%
i	3529	8.4%
e	3250	7.8%
a	2611	6.2%
l	2547	6.1%
o	2546	6.1%
c	2366	5.6%
'	1842	4.4%
n	1835	4.4%
f	1688	4.0%
Other values (49)	15295	36.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41902	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	4393	10.5%
i	3529	8.4%
e	3250	7.8%
a	2611	6.2%
l	2547	6.1%
o	2546	6.1%
c	2366	5.6%
'	1842	4.4%
n	1835	4.4%
f	1688	4.0%
Other values (49)	15295	36.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41902	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	4393	10.5%
i	3529	8.4%
e	3250	7.8%
a	2611	6.2%
l	2547	6.1%
o	2546	6.1%
c	2366	5.6%
'	1842	4.4%
n	1835	4.4%
f	1688	4.0%
Other values (49)	15295	36.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41902	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	4393	10.5%
i	3529	8.4%
e	3250	7.8%
a	2611	6.2%
l	2547	6.1%
o	2546	6.1%
c	2366	5.6%
'	1842	4.4%
n	1835	4.4%
f	1688	4.0%
Other values (49)	15295	36.5%

intervention_info
Text

Distinct	639
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	100.6 KiB

Length

Max length	182
Median length	119
Mean length	53.996997
Min length	18

Characters and Unicode

Total characters	53943
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	559 ?
Unique (%)	56.0%

Sample

1st row	Immediate action required: report to child welfare society and police
2nd row	Report to Nairobi Children's Office and relevant labor authorities
3rd row	Reporting to authorities and follow-ups
4th row	Report to authorities, follow-up
5th row	Investigation, rescue, rehabilitation and reintegration of the victim, legal action against perpetrators

Value	Count	Frequency (%)
to	856	10.9%
and	731	9.3%
report	701	9.0%
authorities	648	8.3%
the	515	6.6%
follow-up	352	4.5%
immediate	256	3.3%
up	202	2.6%
follow	198	2.5%
support	188	2.4%
Other values (248)	3172	40.6%

Most occurring characters

Value	Count	Frequency (%)
	6820	12.6%
t	5392	10.0%
o	5299	9.8%
e	5063	9.4%
i	3692	6.8%
r	3380	6.3%
a	3044	5.6%
p	2486	4.6%
l	2387	4.4%
n	2163	4.0%
Other values (45)	14217	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	53943	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	6820	12.6%
t	5392	10.0%
o	5299	9.8%
e	5063	9.4%
i	3692	6.8%
r	3380	6.3%
a	3044	5.6%
p	2486	4.6%
l	2387	4.4%
n	2163	4.0%
Other values (45)	14217	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	53943	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	6820	12.6%
t	5392	10.0%
o	5299	9.8%
e	5063	9.4%
i	3692	6.8%
r	3380	6.3%
a	3044	5.6%
p	2486	4.6%
l	2387	4.4%
n	2163	4.0%
Other values (45)	14217	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	53943	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	6820	12.6%
t	5392	10.0%
o	5299	9.8%
e	5063	9.4%
i	3692	6.8%
r	3380	6.3%
a	3044	5.6%
p	2486	4.6%
l	2387	4.4%
n	2163	4.0%
Other values (45)	14217	26.4%

	compression_ratio	has_consistency_issues	issue	line_number	priority	summary_length	transcript_length	word_count_summary	word_count_transcript
compression_ratio	1.000	0.061	0.000	-0.022	0.000	0.894	-0.263	0.865	-0.248
has_consistency_issues	0.061	1.000	0.090	0.000	0.088	0.020	0.090	0.077	0.169
issue	0.000	0.090	1.000	0.029	0.048	0.000	0.123	0.061	0.107
line_number	-0.022	0.000	0.029	1.000	0.000	-0.033	-0.022	-0.042	-0.027
priority	0.000	0.088	0.048	0.000	1.000	0.000	0.093	0.000	0.057
summary_length	0.894	0.020	0.000	-0.033	0.000	1.000	0.139	0.965	0.131
transcript_length	-0.263	0.090	0.123	-0.022	0.093	0.139	1.000	0.134	0.934
word_count_summary	0.865	0.077	0.061	-0.042	0.000	0.965	0.134	1.000	0.140
word_count_transcript	-0.248	0.169	0.107	-0.027	0.057	0.131	0.934	0.140	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	record_id	line_number	transcript_length	summary_length	compression_ratio	word_count_transcript	word_count_summary	name	location	issue	category	priority	has_missing_fields	has_transcript_issues	has_summary_issues	has_consistency_issues	victim_info	perpetrator_info	referral_info	intervention_info
0	line_1	1	663	180	0.271493	123	29	Ahmed	Mombasa	Child Labor	Child Exploitation	Urgent	False	False	False	False	5-year-old girl	Unknown, but a local factory is suspected	Mombasa Child Welfare Society and the police	Immediate action required: report to child welfare society and police
1	line_2	2	612	265	0.433007	106	42	Daniel	Kisumu	Forced child labor	Child Labor	High	False	False	False	True	13-year-old sister	Local factory owners	["Nairobi Children's Office, Relevant labor authorities"]	Report to Nairobi Children's Office and relevant labor authorities
2	line_3	3	623	348	0.558587	120	59	Daniel	Mombasa	Child labor	Labor exploitation	High	False	False	False	False	Sammy (14 years old)	Unknown (employer at a local factory)	['Mombasa Labor Commission, Police']	Reporting to authorities and follow-ups
3	line_4	4	603	238	0.394693	108	40	Jane	Kisumu	Child labor	Child exploitation	High	False	False	False	True	12-year-old brother	Unspecified local workshop owner or workers	Kisumu Child Protection Unit and police	Report to authorities, follow-up
4	line_5	5	685	176	0.256934	127	28	John	Narok	Child Labor	Work Exploitation	High	False	False	False	False	13-year-old sister	Unnamed factory owners	["Kisumu Children's Office", 'local police']	Investigation, rescue, rehabilitation and reintegration of the victim, legal action against perpetrators
5	line_6	6	606	264	0.435644	107	43	John	Mwanza	Forced child marriage	Child protection	Urgent	False	False	False	False	12-year-old niece	Family members	["Mwanza Children's Office", 'police']	Report to the authorities and seek further assistance
6	line_7	7	594	285	0.479798	101	45	Sam	Busia	Child marriage and emotional abuse	Child marriage, Emotional abuse	High (urgent intervention needed)	False	False	False	True	14-year-old sister	husband	Busia Children's Office, Police	Follow-up calls with the caller
7	line_8	8	577	270	0.467938	107	44	Sam	Mwanza	Child labor	Labor exploitation	High	False	False	False	True	7-year-old sister	Local factory	Mwanza Child Welfare Services and police	Immediate reporting to authorities followed by follow-up
8	line_9	9	661	229	0.346445	119	36	James	Kisumu, Kenya	Emotional abuse	Child Protection	High	False	False	False	True	12-year-old girl	Mother	["Kisumu Children's Office", 'Local police']	Report to authorities and follow-up with Childline
9	line_10	10	614	282	0.459283	110	47	John	Kisumu	Forced child marriage	Child protection	High	False	False	False	False	14-year-old daughter of a neighbor	Not specified	['Kisumu Child Protection Unit', 'local police']	Report to authorities and follow-up by helpline

	record_id	line_number	transcript_length	summary_length	compression_ratio	word_count_transcript	word_count_summary	name	location	issue	category	priority	has_missing_fields	has_transcript_issues	has_summary_issues	has_consistency_issues	victim_info	perpetrator_info	referral_info	intervention_info
989	line_991	991	661	321	0.485628	112	50	David	Mombasa	Child labor	Labor Exploitation	High	False	False	False	True	A 14-year-old girl	The victim's neighbor	The Children's Office and local police	Immediate report and action by authorities
990	line_992	992	682	193	0.282991	122	31	Hassan	Mwanza	Child Labor	Child Labor	High	False	False	False	True	5-year-old sister	Unnamed family members at a local factory	Mwanza Labor Office and police	Report to authorities and offer support
991	line_993	993	659	284	0.430956	116	42	Sam	Kisumu	Child Labor	Labor Exploitation	High	False	False	False	True	12-year-old sister	Local factory owners	["Kisumu Children's Office", 'Police']	Report the issue to the appropriate authorities
992	line_994	994	572	244	0.426573	99	40	James	Kisumu, Kenya	Child marriage	Child protection issues	High	False	False	False	True	Around 13-year-old girl	The child's family (not specified)	Children's Office and local police	Immediate action: Report the case to the Children's Office and local police
993	line_995	995	601	234	0.389351	108	37	John	Mwanza	Child labor	Child exploitation	High	False	False	False	True	13-year-old sister	Local factory owner	["Mwanza Children's Office", 'Labor inspectorate']	Report to local authorities and follow-up
994	line_996	996	644	343	0.532609	111	54	Isaac	Mwanza, Tanzania	Child labor	Child abuse and exploitation	High	False	False	False	True	5-year-old daughter of Isaac's sister	Isaac's sister	['Mwanza Child Welfare Office', 'local police']	Report to authorities, follow-up support
995	line_997	997	610	240	0.393443	107	40	Jamal	Kisumu	Emotional abuse	Child protection	High	False	False	False	True	12-year-old sister	Stepmother	["Kisumu Children's Office", 'Police']	Report to authorities and offer support
996	line_998	998	577	178	0.308492	111	31	James	Nakuru	Child Labor	Labor Exploitation	High	False	False	False	False	5-year-old sister	Local shop owner	['Nakuru Children’s Office, Police']	Immediate reporting to authorities and follow-up
997	line_999	999	658	244	0.370821	113	33	Moses	Tororo	Child Labor	Labor Exploitation	High	False	False	False	True	5-year-old sister	Not specified	Tororo Children’s Office, police, and local authorities	Immediate reporting and ongoing support
998	line_1000	1000	546	158	0.289377	100	25	John	Mwanza	Child Labor	Child Protection	High	False	False	False	True	12-year-old nephew	Factory Owner	Mwanza Labor Office and the police	Immediate reporting to authorities, follow-up, and potential rescue operation

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)